市场增长分析经理
Manager, Marketplace Growth Analytics
我们的使命
医疗保健应该为患者服务,但现实并非如此。在他们需要帮助的时候,他们只能拨打过时的保险目录。然后等待电话排队。然后等待数周才能获得就诊资格。然后在一个专为等待而设计的房间里等待。然后还要等待一张意外账单。在其他任何消费行业,提供如此糟糕客户体验的公司早就无法生存了。但在医疗保健领域,患者缺乏市场话语权,这意味着他们被期望接受无法接受的事情。
Zocdoc 的使命是赋予患者力量。为此,我们打造了领先的医疗保健市场,使全美 50 个州、200 多个专科和 12,000 多种保险计划的患者能够轻松找到并预约面对面或在线诊疗服务。通过让患者看到并选择,我们赋予他们力量。这样,我们可以让医疗保健像其他消费领域一样运作,企业之间相互竞争客户,而不是相反。随着时间推移,这将提高质量并降低价格。
我们已经成立 18 年,是该领域的领先者,但我们才刚刚开始。如果你喜欢与深思熟虑、有动力且善于协作的团队一起解决重要而复杂的问题,请继续阅读。
你对我们的使命的影响
Zocdoc 的使命简单而艰巨:赋予患者力量。我们是全国领先的数字医疗保健市场——比以往任何时候都更快地将数百万患者与合适的医疗资源连接起来。
数据与分析团队是 Zocdoc 成长、演变和大规模做出高风险决策的核心。作为高级/资深数据科学家,你将是公司中最资深的分析声音之一,是产品、营销、销售、财务、收入、运营、客户体验和平台等各个部门总监和高层领导的战略思考伙伴。
你将处理 Zocdoc 最复杂和模糊的业务问题——这些问题本身并不总是明确的,而且正确的方法也无法简单地套用现有方案。你将主导分析策略,大规模应用严谨的实验和因果推断框架,并将结构化的思考转化为影响 Zocdoc 发展方向的决策。
这是一个高可见度、高影响力的个人贡献者角色。在这里的成功不仅取决于你分析的质量,还取决于你带给周围团队的思考的清晰度、影响力和可扩展性。
如果你是……
- 在产品战略与数据分析的交汇点上充满激情
- 喜欢通过数据驱动的洞察推动业务增长
- 对构建可扩展的数据解决方案充满热情
- 擅长在不确定的环境中进行推理和决策
- 有经验与跨职能团队合作,推动项目从概念到生产
- 有使用 Python、SQL 和统计建模的经验
- 熟悉 A/B 测试、因果推断和机器学习技术
- 有在快速变化的创业公司中工作的经历
查看英文原文
Our Mission
Healthcare should work for patients, but it doesn’t. In their time of need, they call down outdated insurance directories. Then wait on hold. Then wait weeks for the privilege of a visit. Then wait in a room solely designed for waiting. Then wait for a surprise bill. In any other consumer industry, the companies delivering such a poor customer experience would not survive. But in healthcare, patients lack market power. Which means they are expected to accept the unacceptable.
Zocdoc’s mission is to give power to the patient. To do that, we’ve built the leading healthcare marketplace that makes it easy to find and book in-person or virtual care in all 50 states, across 200+ specialties and +12k insurance plans. By giving patients the ability to see and choose, we give them power. In doing so, we can make healthcare work like every other consumer sector, where businesses compete for customers, not the other way around. In time, this will drive quality up and prices down.
We’re 18 years old and the leader in our space, but we are still just getting started. If you like solving important, complex problems alongside deeply thoughtful, driven, and collaborative teammates, read on.
Your Impact on our Mission
Zocdoc's mission is simple and hard: give power to the patient. We are the nation's leading digital healthcare marketplace — connecting millions of patients to the right care, faster than ever.
The Data & Analytics team is at the center of how Zocdoc grows, evolves, and makes high-stakes decisions at scale. As a Sr/Staff Data Scientist you will be one of the most senior analytical voices at the company — a strategic thought partner to directors and senior leadership across Product, Marketing, Sales, Finance, Revenue, Operations, Customer Experience, and Platform.
You'll work on some of Zocdoc's most complex and ambiguous business problems — where the question itself isn't always defined, and the right method doesn't fit neatly into a playbook. You'll lead the analytical strategy, apply rigorous experimentation and causal inference frameworks at scale, and turn structured thinking into decisions that shape how Zocdoc grows.
This is a high-visibility, high-impact individual contributor role. Success here is measured not just by the quality of your analyses, but by the clarity, influence, and scalability of the thinking you bring to the teams around you.
You'll enjoy this role if you are…
- Energized by working at the intersection of product strategy, growth, monetization, and experimentation and genuinely excited to go deep on all of it
- The kind of person who frames the problem before jumping to the analysis and understands that question-setting is half the work
- Comfortable operating with ambiguity and decisive under uncertainty you know how to move fast without sacrificing rigor
- A force multiplier — you get real satisfaction from enabling other teams to make better decisions, not just from what you personally build
- Passionate about connecting technical work to real business outcomes — you know that a great model no one acts on is a missed opportunity
- Serious about your work, but not about yourself — you understand that great outcomes come from trust, collaboration, and a healthy sense of perspective
Your day to day is…
- Leading experimentation and analytical strategy across product, growth, monetization, marketing, and operational initiatives, often simultaneously
- Applying causal inference methodologies (difference-in-differences, synthetic controls, propensity methods, Bayesian experimentation) to real business questions where traditional A/B testing may not be feasible
- Partnering directly with directors and senior leaders to frame complex, cross-functional challenges and translate findings into clear recommendations that drive action
- Improving experimentation frameworks, metrics strategy, and analytical rigor across teams — developing scalable approaches for measurement, segmentation, forecasting, and incrementality
- Influencing roadmap prioritization and business strategy through rigorous analysis and precise communication of tradeoffs and uncertainty
- Mentoring and upskilling data scientists and analysts across the organization on experimentation, causal inference, and statistical best practices
- Partnering with Engineering, Product, and ML teams on instrumentation, data infrastructure, and analytics tooling
- Integrating generative AI tools into daily workflows to automate tasks, foster innovation, and maximize analytical productivity
You'll be successful in this role if you have…
- An unrelenting desire to build more equitable, inclusive, and diverse workplaces — you view this role as an opportunity to create positive change
- 8+ years of experience in Data Science, Product Analytics, Applied Analytics, or Experimentation, with a track record of solving high-impact, cross-functional business problems. A Bachelor's degree in Computer Science, Data Science, Statistics, Applied Mathematics, Machine Learning, Artificial Intelligence, Economics, Physics, or a related field; a Master's degree or PhD in a quantitative field is a plus
- Experience partnering with senior stakeholders across Product, Marketing, Revenue, Sales, Operations, or Customer Experience organizations to drive strategy through data
- Strong experimentation experience at scale, including causal inference methodologies applied to real-world, often messy business settings
- Advanced SQL proficiency and strong Python fluency, with the ability to work across large, complex datasets
- The ability to integrate generative AI tools into daily workflows to automate tasks, foster innovation, and maximize productivity
- Familiarity with areas such as: pricing and monetization analytics, growth and retention strategy, customer segmentation and lifecycle, marketing attribution and incrementality, or operational and marketplace analytics
- Experience in fast-paced, high-growth environments — consumer technology, SaaS, fintech, marketplace, or platform companies is highly relevant
- Humility — you believe in treating all people with dignity and respect, regardless of title or tenure
Benefits
- Unlimited Vacation
- 100% paid employee health benefit options (including medical, dental, and vision)
- Commuter Benefits
- 401(k) with employer funded match
- Corporate wellness program with Wellhub
- Sabbatical leave (for employees with 5+ years of service)
- Competitive paid parental leave and fertility/family planning reimbursement
- Cell phone reimbursement
- Catered lunch everyday along with beverages and snacks
- Employee Resource Groups and ZocClubs to promote shared community and belonging
- Great Place to Work Certified
Zocdoc is committed to fair and equitable compensation practices. Salary ranges are determined through alignment with market data. Base salary offered is determined by a number of factors including the candidate’s experience, qualifications, and skills. Certain positions are also eligible for variable pay and/or equity; your recruiter will discuss the full compensation package details.
NYC Base Salary Range
$200,000—$270,000 USD
Zocdoc is committed to fair and equitable compensation practices. Salary ranges are determined through alignment with market data. Base salary offered is determined by a number of factors including the candidate’s experience, qualifications, and skills. Certain positions are also eligible for variable pay and/or equity.
Remote Base Salary Range
$200,000—$270,000 USD
About usZocdoc is the country’s leading digital health marketplace that helps patients easily find and book the care they need. Each month, millions of patients use our free service to find nearby, in-network providers, compare choices based on verified patient reviews, and instantly book in-person or video visits online. Providers participate in Zocdoc’s Marketplace to reach new patients to grow their practice, fill their last-minute openings, and deliver a better healthcare experience. Founded in 2007 with a mission to give power to the patient, our work each day in pursuit of that mission is guided by oursix core values. Zocdoc is a private company backed by some of the world’s leading investors, and we believe we’re still only scratching the surface of what we plan to accomplish.
Zocdoc is a mission-driven organization dedicated to building teams as diverse as the patients and providers we aim to serve. In the spirit of one of our core values - Together, Not Alone, we are a company that prides itself on being highly collaborative, and we believe that diverse perspectives, experiences and contributors make our community and our platform better. We’re an equal opportunity employer committed to providing employees with a work environment free of discrimination and harassment. Applicants are considered for employment regardless of race, color, ethnicity, ancestry, religion, national origin, gender, sex, gender identity, gender expression, sexual orientation, age, citizenship, marital or parental status, disability, veteran status, or any other class protected by applicable laws.
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Originally posted on Himalayas